Triple
T27589399
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | OpenDaylight |
E699758
|
entity |
| Predicate | supportsProgrammability |
P76293
|
FINISHED |
| Object | true |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: true | Statement: [OpenDaylight, supportsProgrammability, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsProgrammability Context triple: [OpenDaylight, supportsProgrammability, true]
-
A.
programmability
chosen
Indicates that an entity can be configured, controlled, or modified through programming or code to change its behavior or functions.
-
B.
supportsProgramType
Indicates that one entity is capable of handling, offering, or being compatible with a specified type of program.
-
C.
hasProgrammingModel
Indicates that one entity defines, specifies, or is associated with the programming model used or supported by another entity.
-
D.
supportsProgramOf
Indicates that one entity provides assistance, resources, or endorsement to help another entity’s program operate or succeed.
-
E.
supportsProgrammingArtifact
Indicates that one entity provides the necessary functionality, environment, or resources for a programming-related artifact (such as code, tools, or frameworks) to operate or be effectively used.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ef6a4d71f081909a1235763206b691 |
completed | April 27, 2026, 1:53 p.m. |
| NER | Named-entity recognition | batch_69ff234f32888190a1d800a3bda432eb |
completed | May 9, 2026, 12:06 p.m. |
| PD | Predicate disambiguation | batch_69ff228ae9a0819083f4b97c10b923f4 |
completed | May 9, 2026, 12:03 p.m. |
Created at: April 27, 2026, 2:05 p.m.